About the Dataset

It consists of 2425 CXRs for training and 606 CXRs for testing. Training data: 1145 Pneumonia CXRs and 1280 Normal CXRs. Every CXR is a 1024 X 1024 image in the PNG format.

The labels for each CXR were extracted using an NLP label extractor from corresponding radiology reports.

Download the dataset from here: https://drive.google.com/file/d/1d_93d9oFNRBK9Vg6BRxs9wvRbKtNTylY/view?usp=sharing

From the above link you will be able to download a zip file named detect_trees_near_electric_wires.zip’. After you extract this zip file, you will get four files:

train - contains all the images that are to be used for training your model.
test - contains 600+ images. For these images you are required to make predictions whether the x-ray image is disease
test.csv - this is the order of the predictions for each image that is to be submitted on the platform. Make sure the predictions you submit are with their image’s filename in the same order as given in this file.
sample_submission: This is a csv file that contains the sample submission for the data sprint.

Note: The header of the predicted values in the submission file to be ‘label’ else it will throw an error. For reference check sample submission file downloaded from above link.

Getting Started Baseline Notebook

Open in Segmind

To make it seamless for the community to get started with challenge, we have created a baseline model. You can access the same on Segmind through the above link.
(Please login/signup to Segmind to be able to access the baseline model).

Acknowledgement

The dataset is released by National Institutes of Health

Pneumonia Classification Challenge by Segmind

Challenge Starts

Registration Ends

Challenge Ends